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The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees
08:31

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Published on: December 27, 2017

Leaf area and water content changes after permanent and temporary storage.

Kevyn J Juneau1, Catherine S Tarasoff

  • 1School of Forest Resources and Environmental Science, Michigan Technological University, Houghton, Michigan, United States of America. kjjuneau@mtu.edu

Plos One
|August 11, 2012
PubMed
Summary

Leaf area shrinkage varies by storage method, with pressed leaves shrinking significantly more than cold-stored leaves. Models are developed to correct for shrinkage in preserved specimens, crucial for ecosystem productivity research.

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Area of Science:

  • Ecology
  • Botany
  • Climate Science

Background:

  • Accurate leaf morphology measurements are vital for ecosystem productivity and climate change modeling.
  • Leaves degrade rapidly after harvest, necessitating proper storage to minimize morphological changes.
  • Preserved specimens require accurate estimation methods to match fresh measurements.

Purpose of the Study:

  • To quantify leaf area changes under different storage treatments.
  • To develop predictive models for estimating initial leaf area from preserved specimens.
  • To compare shrinkage across ten plant species and growth forms.

Main Methods:

  • Fresh leaf area was measured for ten species.
  • Leaves were subjected to two common storage treatments (permanent and temporary).
  • Leaf area was re-measured post-storage, and shrinkage was analyzed.

Main Results:

  • Leaf area decreased significantly more in permanent storage (e.g., pressing) than temporary storage (e.g., cold storage).
  • Pressed leaves showed over 18% shrinkage, while cold-stored leaves shrunk under 4%.
  • Woody dicots exhibited the least shrinkage; shrinkage correlated positively with initial water content and leaf complexity.

Conclusions:

  • Storage method critically impacts leaf area measurements.
  • Developed models can improve accuracy when using preserved specimens for ecological studies.
  • Understanding shrinkage factors is essential for reliable climate change and productivity modeling.